Physics-based animation programs can often be modeled in terms of hybrid automata. A hybrid automaton includes both discrete and continuous dynamical variables. The discrete varia...
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
Abstract: The narrowing relation over terms constitutes the basis of the most important operational semantics of languages that integrate functional and logic programming paradigms...
In this paper, we present the integration of controller synthesis techniques in the SIGNAL environment through the description of a tool dedicated to the incremental construction o...